Anomaly Detection in Medical Images Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Anomaly Detection in Medical Images Using Deep Reinforcement Learning

Published:2024-03-15 Issue: Volume:20 Page:506-512
ISSN:
Container-title:2024 2nd International Conference on Disruptive Technologies (ICDT)
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Author:

Rastogi Divya¹,Sharma Aparna¹,Yadav R. K.²,Varshney Neeraj³,Saraswat Laxmi⁴

Affiliation:

1. Computer Science and Application, Sharda University,Greater Noida,UP,India

2. Electronics & Communication Engineering, Raj Kumar Goel Institute of Technology,Ghaziabad,UP,India

3. GLA University,Department of Computer Engineering and Applications,Mathura,UP,India

4. ABES Engineering College,Department of Computer Science,Ghaziabad,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488912/10488915/10489274.pdf?arnumber=10489274

Reference20 articles.

1. Estimation analysis of paralysis effects for human nervous system by using Neuro fuzzy logic controller;Ramesh;NeuroQuantology,2022

2. Cooperative Spectrum Sensing with Adaptive Double-Threshold Based Energy Detector in Cognitive Radio Networks

3. A smart design of a multidimensional antenna to enhance the maximum signal clutch to the allowable standards in 5G communication networks;Logeshwaran;ICTACT Journal on Microelectronics,2022

4. On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks

5. Deep Reinforcement Learning for Anomaly Detection: A Systematic Review

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